package com.kexilo.system.management.controller;

import com.kexilo.core.common.core.web.domain.R;
import com.kexilo.system.audit.service.ISysOperLogService;
import com.kexilo.system.security.service.ISysLogininforService;
import com.kexilo.system.system.service.ISysMenuService;
import com.kexilo.system.user.service.ISysDeptService;
import com.kexilo.system.user.service.ISysRoleService;
import com.kexilo.system.user.service.ISysUserService;
import io.swagger.v3.oas.annotations.Operation;
import io.swagger.v3.oas.annotations.tags.Tag;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.security.access.prepost.PreAuthorize;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.util.*;

/**
 * 仪表板统计
 * 
 * @author Kexilo
 */
@RestController
@RequestMapping("/dashboard")
@Tag(name = "仪表板统计", description = "系统首页统计相关接口")
public class DashboardController {
    
    private static final Logger log = LoggerFactory.getLogger(DashboardController.class);

    @Autowired
    private ISysUserService userService;

    @Autowired
    private ISysRoleService roleService;

    @Autowired
    private ISysMenuService menuService;

    @Autowired
    private ISysDeptService deptService;

    @Autowired
    private ISysOperLogService operLogService;

    @Autowired
    private ISysLogininforService logininforService;

    /**
     * 获取系统统计概览
     */
    @PreAuthorize("@ss.hasPermi('system:dashboard:view')")
    @GetMapping("/overview")
    @Operation(summary = "获取系统统计概览", description = "获取系统基础数据统计")
    public R<Map<String, Object>> getOverview() {
        try {
            Map<String, Object> overview = new HashMap<>();
            
            // 基础统计（临时使用固定值）
            overview.put("userCount", 0); // userService.count() - 需要实现
            overview.put("roleCount", 0); // roleService.count() - 需要实现
            overview.put("menuCount", 0); // menuService.count() - 需要实现
            overview.put("deptCount", 0); // deptService.count() - 需要实现
            
            // 今日统计
            LocalDate today = LocalDate.now();
            String todayStr = today.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
            
            // 注意：这里需要根据实际的service方法来实现
            overview.put("todayLoginCount", getTodayLoginCount());
            overview.put("todayOperCount", getTodayOperCount());
            
            // 本周统计
            overview.put("weekLoginCount", getWeekLoginCount());
            overview.put("weekOperCount", getWeekOperCount());
            
            return R.success(overview);
        } catch (Exception e) {
            log.error("获取系统统计概览失败", e);
            return R.fail("获取统计数据失败");
        }
    }

    /**
     * 获取登录统计
     */
    @PreAuthorize("@ss.hasPermi('system:dashboard:view')")
    @GetMapping("/login-stats")
    @Operation(summary = "获取登录统计", description = "获取最近7天登录统计数据")
    public R<Map<String, Object>> getLoginStats() {
        try {
            Map<String, Object> stats = new HashMap<>();
            
            // 最近7天登录统计
            List<Map<String, Object>> weeklyStats = new ArrayList<>();
            LocalDate today = LocalDate.now();
            
            for (int i = 6; i >= 0; i--) {
                LocalDate date = today.minusDays(i);
                String dateStr = date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
                
                Map<String, Object> dayStats = new HashMap<>();
                dayStats.put("date", dateStr);
                dayStats.put("loginCount", getLoginCountByDate(dateStr));
                dayStats.put("successCount", getSuccessLoginCountByDate(dateStr));
                dayStats.put("failCount", getFailLoginCountByDate(dateStr));
                
                weeklyStats.add(dayStats);
            }
            
            stats.put("weeklyStats", weeklyStats);
            
            // 今日登录统计
            Map<String, Object> todayStats = new HashMap<>();
            String todayStr = today.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
            todayStats.put("totalCount", getLoginCountByDate(todayStr));
            todayStats.put("successCount", getSuccessLoginCountByDate(todayStr));
            todayStats.put("failCount", getFailLoginCountByDate(todayStr));
            stats.put("todayStats", todayStats);
            
            return R.success(stats);
        } catch (Exception e) {
            log.error("获取登录统计失败", e);
            return R.fail("获取登录统计失败");
        }
    }

    /**
     * 获取操作统计
     */
    @PreAuthorize("@ss.hasPermi('system:dashboard:view')")
    @GetMapping("/operation-stats")
    @Operation(summary = "获取操作统计", description = "获取最近7天操作统计数据")
    public R<Map<String, Object>> getOperationStats() {
        try {
            Map<String, Object> stats = new HashMap<>();
            
            // 最近7天操作统计
            List<Map<String, Object>> weeklyStats = new ArrayList<>();
            LocalDate today = LocalDate.now();
            
            for (int i = 6; i >= 0; i--) {
                LocalDate date = today.minusDays(i);
                String dateStr = date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
                
                Map<String, Object> dayStats = new HashMap<>();
                dayStats.put("date", dateStr);
                dayStats.put("operCount", getOperCountByDate(dateStr));
                dayStats.put("successCount", getSuccessOperCountByDate(dateStr));
                dayStats.put("failCount", getFailOperCountByDate(dateStr));
                
                weeklyStats.add(dayStats);
            }
            
            stats.put("weeklyStats", weeklyStats);
            
            // 操作类型统计
            Map<String, Object> typeStats = new HashMap<>();
            typeStats.put("insertCount", getOperCountByType("1")); // 新增
            typeStats.put("updateCount", getOperCountByType("2")); // 修改
            typeStats.put("deleteCount", getOperCountByType("3")); // 删除
            typeStats.put("exportCount", getOperCountByType("5")); // 导出
            stats.put("typeStats", typeStats);
            
            return R.success(stats);
        } catch (Exception e) {
            log.error("获取操作统计失败", e);
            return R.fail("获取操作统计失败");
        }
    }

    /**
     * 获取用户统计
     */
    @PreAuthorize("@ss.hasPermi('system:dashboard:view')")
    @GetMapping("/user-stats")
    @Operation(summary = "获取用户统计", description = "获取用户相关统计数据")
    public R<Map<String, Object>> getUserStats() {
        try {
            Map<String, Object> stats = new HashMap<>();
            
            // 用户状态统计
            Map<String, Object> statusStats = new HashMap<>();
            statusStats.put("activeCount", getUserCountByStatus("0")); // 正常用户
            statusStats.put("inactiveCount", getUserCountByStatus("1")); // 停用用户
            stats.put("statusStats", statusStats);
            
            // 用户注册趋势（最近7天）
            List<Map<String, Object>> registerTrend = new ArrayList<>();
            LocalDate today = LocalDate.now();
            
            for (int i = 6; i >= 0; i--) {
                LocalDate date = today.minusDays(i);
                String dateStr = date.format(DateTimeFormatter.ofPattern("yyyy-MM-dd"));
                
                Map<String, Object> dayStats = new HashMap<>();
                dayStats.put("date", dateStr);
                dayStats.put("registerCount", getRegisterCountByDate(dateStr));
                
                registerTrend.add(dayStats);
            }
            
            stats.put("registerTrend", registerTrend);
            
            return R.success(stats);
        } catch (Exception e) {
            log.error("获取用户统计失败", e);
            return R.fail("获取用户统计失败");
        }
    }

    // 以下是私有方法，用于获取具体的统计数据
    // 注意：这些方法需要根据实际的service层方法来实现

    private long getTodayLoginCount() {
        // 这里需要根据实际的logininforService方法来实现
        // 暂时返回模拟数据
        return (long) (Math.random() * 100) + 50;
    }

    private long getTodayOperCount() {
        // 这里需要根据实际的operLogService方法来实现
        // 暂时返回模拟数据
        return (long) (Math.random() * 200) + 100;
    }

    private long getWeekLoginCount() {
        // 这里需要根据实际的logininforService方法来实现
        // 暂时返回模拟数据
        return (long) (Math.random() * 500) + 300;
    }

    private long getWeekOperCount() {
        // 这里需要根据实际的operLogService方法来实现
        // 暂时返回模拟数据
        return (long) (Math.random() * 1000) + 800;
    }

    private long getLoginCountByDate(String date) {
        // 暂时返回模拟数据
        return (long) (Math.random() * 50) + 10;
    }

    private long getSuccessLoginCountByDate(String date) {
        // 暂时返回模拟数据
        long total = getLoginCountByDate(date);
        return (long) (total * 0.9);
    }

    private long getFailLoginCountByDate(String date) {
        // 暂时返回模拟数据
        long total = getLoginCountByDate(date);
        return total - getSuccessLoginCountByDate(date);
    }

    private long getOperCountByDate(String date) {
        // 暂时返回模拟数据
        return (long) (Math.random() * 100) + 20;
    }

    private long getSuccessOperCountByDate(String date) {
        // 暂时返回模拟数据
        long total = getOperCountByDate(date);
        return (long) (total * 0.95);
    }

    private long getFailOperCountByDate(String date) {
        // 暂时返回模拟数据
        long total = getOperCountByDate(date);
        return total - getSuccessOperCountByDate(date);
    }

    private long getOperCountByType(String businessType) {
        // 暂时返回模拟数据
        return (long) (Math.random() * 50) + 10;
    }

    private long getUserCountByStatus(String status) {
        // 暂时返回模拟数据
        if ("0".equals(status)) {
            return (long) (Math.random() * 100) + 80; // 正常用户多一些
        } else {
            return (long) (Math.random() * 20) + 5; // 停用用户少一些
        }
    }

    private long getRegisterCountByDate(String date) {
        // 暂时返回模拟数据
        return (long) (Math.random() * 10) + 1;
    }
}

